* support getitem when index is a all-false bool tensor

* use cond to replace if

* add static_graph geitem unit test when index is a bool tensor

* [Eager]Polish enable/disable_legacy_dygraph logic

* Support _offset in eager mode

* Update framework.py

* Update framework.py
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* [Eager]Polish enable/disable_legacy_dygraph logic

* fix test_var_base print_tensor

* fix bug caused by arange

* Updated bf16 cast case

* BF16 astype to float32
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>
Co-authored-by: Npangyoki <pangyoki@126.com>
Co-authored-by: Nzyfncg <zhangyunfei07@baidu.com>

* refactor eager flags

* fix flags error when we switch from eager to dygraph

* fix ci problem

* fix ci

* fix ci

* merge develop and fix code style

* merge develop and fix code style

* fix op test error

* fix op test error

* fix op test error

* fix op test error

* fix op test error

* merge develop

* support get_item where the index is a bool scalar tensor

* add unittests for supporting get_item where the index is a bool scalar tensor

* fix some slice bug, test=develop

* eager slice, test=develop

* eager slice, test=develop

* refine, test=develop

* refine, test=develop

* fix bug, test=develop

* refine, test=develop

* rename function name, test=develop

* switch eager mode and change it

* set default is eager

* set default is eager

* fix error; test=develop

* fix some error; test=develop

* update

* upd

* update code; test=develop

* update

* fix some bug; test=develop

* fix bug; test=develop

* fix bug; test=develop

* fix bug; test=develop

* fix error; test=develop

* format; test=develop
Co-authored-by: NJiabinYang <360788950@qq.com>

* fix bug of paddle.to_tensor and paddle.moveaxis

* fix CI

* add pten::Place data structure.

* update ci problem

* fix ci problem

* update

* using platform::Place=pten::Place

* remove BOOST_GET_CONST for CPUPlace and GPUPlace

* compile pass 25%.

* compile pass 45%

* compile pass 60%

* remove boost_get for xpu npu mlu and ipu

* compile pass on cpu and gpu.

* fix compile problem

* fix compile error.

* update

* fix ci problem

* update

* ci approve

* fix ci problem

* fix ci eager test problem

* remove BOOST_GET_CONST

* fix npu compile

* add new API: paddle.clone;Tensor.element_size;nn.utils.parameters_to_vector

* fix comment

* support zero dim for slice op

* support zero dim Tensor in set_value op

* polish some debug log

* Removed one ENFORCE statement

* Changed func name to _share_buffer_to

* Improve error reporting information

* Updated the logic of _is_share_buffer_to func

* Expose func for varbase

* Expose func for varbase and enhance varbase init func

* Change func name and add test case for _CopyGradientWith

* Rename func

* Add test cases to increase coverage

* Refine the logic of _to func

* Replace numel() with _numel(), Add test code

* Change the invoking method of settiem from numpy to set_value op when value is not tensor

* fix the check logic for inplace in setitem

* fix the unittest problem caused by setitem doesn't support fp16

* modify some code format in setitem

* support numpy.ndarray index.

* polish code.

* support numpy dtype and polish code of list index.

* polish code.

* support setting linewith when printing tensor

* fix ut

* refine code

* update comments

* use small precision since windows/linux has different ramdom value

* fix typo

* adjust parameter order for consistency

* Support getitem by Bool index

* delete some debug info of bool index

* support the case that the shape of bool index is different from indexed tensor

* Support getitem by ellipsis index in dynamic mode

* change some code style

* Support getitem by none index in dynamic mode

* modify a comments style and remove useless code

* Support getitem by ellipsis index in dynamic mode

* change some code style

* in NPU environment, use CPUPlace for missing operators.

* in NPU environment, use CPUPlace for missing operators.

* fix TensorCopy bug and add unit test.

* fix code style.

* add more unit tests.

* del py2 code2

* fix test timeout

* fix stop_gradient in paddle.to_tensor

* make to_tensor copy if data is varbase

* add ut

* refine sample code

* Modified the return value of tensor.grad from numpy as tensor.

* Modify unittests.

* fixed bugs.

* Add warning info for x.grad

* fixed unittests which used x.grad

* fixed bug.

* polish printing dtype

* fix special case